End of training

README.md

@@ -1,10 +1,7 @@
 ---
-license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: twitter-sentiments
   results: []
@@ -15,10 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # twitter-sentiments
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.8390
-- Accuracy: 0.7230
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
 
 ## Model description
 
@@ -41,18 +35,17 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6457        | 1.0   | 1141 | 0.6095          | 0.7277   |
-| 0.4998        | 2.0   | 2282 | 0.6070          | 0.7364   |
-| 0.3461        | 3.0   | 3423 | 0.7165          | 0.7316   |
-| 0.2315        | 4.0   | 4564 | 0.8390          | 0.7230   |
+| No log        | 1.0   | 285  | 0.7545          | 0.7658   |
 
 
 ### Framework versions